It takes a pirate to know one: ethical hackers for healthcare cybersecurity

Healthcare cybersecurity is increasingly targeted by malicious hackers. This sector has many vulnerabilities and health data is very sensitive and valuable. Consequently, any damage caused by malicious intrusions is particularly alarming. The consequences of these attacks can be enormous and endanger patient care. Amongst the already-implemented cybersecurity measures and the ones that need to be further improved, this paper aims to demonstrate how penetra tion tests can greatly benefit healthcare cybersecurity. It is already proven that this approach has enforced cybersecu rity in other sectors. However, it is not popular in healthcare since many prejudices still surround the hacking practice and there is a lack of education on hackers' categories and their ethics. The present analysis aims to comprehend what hacker ethics is and who ethical hackers are. Currently, hacker ethics has the status of personal ethics; however, to employ penetration testers in healthcare, it is recommended to draft an official code of ethics, comprising principles, standards, expectations, and best practices. Additionally, it is important to distinguish between malicious hackers and ethical hackers. Amongst the latter, penetration testers are only a sub-category. Acknowledging the subtle differences between ethical hackers and penetration testers allows to better understand why and how the latter can offer their services to healthcare facilities

The devil is in the details: an analysis of patient rights in Swiss cancer registries

Cancer registries are an important part of the public health infrastructure, since they allow to monitor the temporal trends of this illness as well as facilitate epidemiological research. In order to effectively set up such registries, it is necessary to create a system of data collection that permits to record health-related information from patients who are diagnosed with cancer. Given the sensitive nature of such data, it is debated whether their recording should be based on consent or whether alternative arrangements are possible (eg, opt-out systems where information is automatically collected but patients can later withdraw). In the recent reform of the Swiss cancer registration legislation, the lawmaker set out to implement rules about the recording of data in cancer registries that would allegedly go beyond a consent-based model, in order to balance accurate registration with respect of patient rights. However, by analysing the operational norms of the new legislation and comparing them with those of other systems, it emerges that the Swiss rules de facto closely resemble a system of registration based on informed consent-in partial contradiction with the objective pursued by the lawmaker. In this paper, we show how the details of a policy are crucial to determine its true nature and we highlight some critical elements-from an ethical standpoint-of the recently reformed Swiss policy on cancer registration

Machine learning applications in healthcare and the role of informed consent: Ethical and practical considerations

Informed consent is at the core of the clinical relationship. With the introduction of machine learning (ML) in healthcare, the role of informed consent is challenged. This paper addresses the issue of whether patients must be informed about medical ML applications and asked for consent. It aims to expose the discrepancy between ethical and practical considerations, while arguing that this polarization is a false dichotomy: in reality, ethics is applied to specific contexts and situations. Bridging this gap and considering the whole picture is essential for advancing the debate. In the light of the possible future developments of the situation and the technologies, as well as the benefits that informed consent for ML can bring to shared decision-making, the present analysis concludes that it is necessary to prepare the ground for a possible future requirement of informed consent for medical ML

Artificial intelligence and the doctor-patient relationship expanding the paradigm of shared decision making

Artificial intelligence (AI) based clinical decision support systems (CDSS) arebecoming ever more widespread in healthcare and could play an important role indiagnostic and treatment processes. For this reason, AI‐based CDSS has an impacton the doctor-patient relationship, shaping their decisions with its suggestions. Wemay be on the verge of a paradigm shift, where the doctor-patient relationship is nolonger a dual relationship, but a triad. This paper analyses the role of AI‐based CDSSfor shared decision‐making to better comprehend its promises and associated ethicalissues. Moreover, it investigates how certain AI implementations may instead fosterthe inappropriate paradigm of paternalism. Understanding how AI relates to doctorsand influences doctor-patient communication is essential to promote more ethicalmedical practice. Both doctors' and patients' autonomy need to be considered in thelight of AI

Bioethical Implications of Vulnerability and Politics for Healthcare in Ethiopia and The Ways Forward

Vulnerability and politics are among the relevant and key topics of discussion in the Ethiopian healthcare context. Attempts by the formal bioethics structure in Ethiopia to deliberate on ethical issues relating to vulnerability and politics in healthcare have been limited, even though the informal analysis of bioethical issues has been present in traditional Ethiopian communities. This is reflected in religion, social values, and local moral underpinnings. Thus, the aim of this paper is to discuss the bioethical implications of vulnerability and politics for healthcare in Ethiopia and to suggest possible ways forward. First, we will briefly introduce what has been done to develop bioethics as a field in Ethiopia and what gaps remain concerning its implementation in healthcare practice. This will give a context for our second and main task - analyzing the healthcare challenges in relation to vulnerability and politics and discussing their bioethical implications. In doing so, and since these two concepts are intrinsically broad, we demarcate their scope by focusing on specific issues such as poverty, gender, health governance, and armed conflicts. Lastly, we provide suggestions for the ways forward

Systemic Fairness for Sharing Health Data: Perspectives From Swiss Stakeholders

Introduction:; Health research is gradually embracing a more collectivist approach, fueled by a new movement of open science, data sharing and collaborative partnerships. However, the existence of systemic contradictions hinders the sharing of health data and such collectivist endeavor. Therefore, this qualitative study explores these systemic barriers to a fair sharing of health data from the perspectives of Swiss stakeholders.; Methods:; Purposive and snowball sampling were used to recruit 48 experts active in the Swiss healthcare domain, from the research/policy-making field and those having a high position in a health data enterprise (e.g., health register, hospital IT data infrastructure or a national health data initiative). Semi-structured interviews were then conducted, audio-recorded, verbatim transcribed with identifying information removed to guarantee the anonymity of participants. A theoretical thematic analysis was then carried out to identify themes and subthemes related to the topic of systemic fairness for sharing health data.; Results:; Two themes related to the topic of systemic fairness for sharing health data were identified, namely (i) the hypercompetitive environment and (ii) the legal uncertainty blocking data sharing. The theme, hypercompetitive environment was further divided into two subthemes, (i) systemic contradictions to fair data sharing and the (ii) need of fair systemic attribution mechanisms.; Discussion:; From the perspectives of Swiss stakeholders, hypercompetition in the Swiss academic system is hindering the sharing of health data for secondary research purposes, with the downside effect of influencing researchers to embrace individualism for career opportunities, thereby opposing the data sharing movement. In addition, there was a perceived sense of legal uncertainty from legislations governing the sharing of health data, which adds unreasonable burdens on individual researchers, who are often unequipped to deal with such facets of their data sharing activities

Factors Affecting Women's Autonomous Decision Making In Research Participation Amongst Yoruba Women Of Western Nigeria

Research is a global enterprise requiring participation of both genders for generalizable knowledge; advancement of science and evidence based medical treatment. Participation of women in research is necessary to reduce the current bias that most empirical evidence is obtained from studies with men to inform health care and related policy interventions. Various factors are assumed to limit autonomy amongst the Yoruba women of western Nigeria. This paper seeks to explore the experience and understanding of autonomy by the Yoruba women in relation to research participation. Focus is on factors that affect women’s autonomous decision making in research participation. An exploratory qualitative approach comprising four focus group discussions, 42 in-depth interviews and 14 key informant interviews was used. The study permits a significant amount of triangulation, as opinions of husbands and religious leaders are also explored. Interviews and discussions were audiotaped and transcribed verbatim. Content analysis was employed for data analysis. Findings show that concepts of autonomy varied amongst the Yoruba women. Patriarchy, religion and culture are conceived to have negative impact on the autonomy of women in respect to research participation. Among the important findings are: 1) male dominance is strongly emphasized by religious leaders who should teach equality, 2) while men feel that by making decisions for women, they are protecting them, the women on the other hand see this protection as a way of limiting their autonomy. We recommend further studies to develop culturally appropriate and workable recruitment methods to increase women’s participation in research

Ethical Norms and the International Governance of Genetic Databases and Biobanks:Findings from an International Study

This article highlights major results of a study into the ethical norms and rules governing biobanks. After describing the methodology, the findings regarding four topics are presented: (1) the ownership of human biological samples held in biobanks; (2) the regulation of researchers\u27 use of samples obtained from biobanks; (3) what constitutes collective consent to genetic research, and when it is needed; and (4) benefit sharing and remuneration of research participants. The paper then summarizes key lessons to be drawn from the findings and concludes by reflecting on the importance of such empirical research to inform future governance norms and practices

Sensing the (digital) pulse. Future steps for improving the secondary use of data for research in Switzerland.

INTRODUCTION Ensuring that the health data infrastructure and governance permits an efficient secondary use of data for research is a policy priority for many countries. Switzerland is no exception and many initiatives have been launched to improve its health data landscape. The country now stands at an important crossroad, debating the right way forward. We aimed to explore which specific elements of data governance can facilitate - from ethico-legal and socio-cultural perspectives - the sharing and reuse of data for research purposes in Switzerland. METHODS A modified Delphi methodology was used to collect and structure input from a panel of experts via successive rounds of mediated interaction on the topic of health data governance in Switzerland. RESULTS First, we suggested techniques to facilitate data sharing practices, especially when data are shared between researchers or from healthcare institutions to researchers. Second, we identified ways to improve the interaction between data protection law and the reuse of data for research, and the ways of implementing informed consent in this context. Third, we put forth ideas on policy changes, such as the steps necessary to improve coordination between different actors of the data landscape and to win the defensive and risk-adverse attitudes widespread when it comes to health data. CONCLUSIONS After having engaged with these topics, we highlighted the importance of focusing on non-technical aspects to improve the data-readiness of a country (e.g., attitudes of stakeholders involved) and of having a pro-active debate between the different institutional actors, ethico-legal experts and society at large